Development and Application of Battery Management System for Storage System of the Auxiliary Power Unit of EMUs

Hanxiao Liu, Yang Li, Bin Duan, Liwei Li
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引用次数: 1

Abstract

The bullet trains use electric traction. As a key component, the electrical system provides power for the operation of the whole vehicle. The auxiliary power unit (APU) provides power for the electric multiple unit (EMU) electrical system. Nickel-cadmium batteries are used as backup power supply. With the train running, the storage battery inevitably appears a certain degree of aging. In order to improve the service life and safety of EMU batteries, realize the omnidirectional monitoring and management of batteries, and establish the life prediction model and optimal replacement strategy of batteries, this paper designs a battery management system (BMS). The BMS adopts a master-slave structure. The master module is based on S32K144 automotive microcontroller, and the slave module is based on MC33771 in AFE chips. The BMS can collect and analyze the operation parameters of the battery in real time. The ampere-hour integration method and Extended Kalman Filter (EKF) were used to estimate the SOC (state of charge) of the battery in real time. Simulation in Simulink software and experimental verification show that the estimation error can be within 2%.
动车组辅助动力单元储能系统电池管理系统的开发与应用
子弹头列车使用电力牵引。电气系统作为关键部件,为整车的运行提供动力。辅助动力单元(APU)为动车组(EMU)电气系统提供动力。镍镉电池作为备用电源。随着列车的运行,蓄电池不可避免地出现一定程度的老化。为了提高动车组蓄电池的使用寿命和安全性,实现对蓄电池的全方位监控和管理,建立蓄电池的寿命预测模型和最优更换策略,设计了蓄电池管理系统(BMS)。BMS采用主从结构。主模块基于S32K144汽车微控制器,从模块基于AFE芯片中的MC33771。BMS可以实时采集和分析电池的运行参数。采用安培-小时积分法和扩展卡尔曼滤波(EKF)实时估计电池的荷电状态。在Simulink软件中进行仿真并进行实验验证,结果表明该方法的估计误差在2%以内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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